Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems

Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems

The excessive use of power semiconductor devices in a grid utility increases the malfunction of the control system, produces power quality disturbances (PQDs) and reduces the electrical component life. The present work proposes a novel algorithm based on Improved Principal Component Analysis (IPCA)...

Full description

Bibliographic Details
Main Authors: Yue Shen, Muhammad Abubakar, Hui Liu, Fida Hussain
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
power quality disturbance
convolution neural network
improved principal component analysis
wind-grid distribution
Online Access:https://www.mdpi.com/1996-1073/12/7/1280

Internet

https://www.mdpi.com/1996-1073/12/7/1280

Similar Items